Location: Amman, Jordan
Company- Atypon A Wiley Brand
Atypon, a Wiley brand, is the world's largest technology company in the scholarly and professional publishing industry known for its technological leadership when it comes to online delivery of content. Our online platform helps publishers manage, market and monetize any type of content to engage their users.
About the Role:Working on top of worldwide research content & knowledge, our Machine Learning & Data Engineering teams explore new ideas and develop novel, AI-powered solutions which help publishers & researchers to know more, do more & achieve more. At the same time, our goal is to highlight low-quality research and ensure research (data) integrity identifying signals of potential research misconduct and/or papermill activity. We are looking for a talented and self-directed Senior Computer Vision / Machine Learning Engineer.
How you will make an impact:- Design & develop novel scalable & robust computer vision technology for 2D Image classification, semantic segmentation and image manipulation / image copy detection.
- Develop large scale solutions for image search/retrieval & image copy detection.
- Plan and execute cutting-edge research and prototyping on all the above-mentioned areas.
- Image Classification & Semantic Segmentation (2D).
- Image manipulation/forgery detection & localization (i.e., copy-move, splicing or removal detection within one or multiple images).
- Image similarity analysis, large-scale image search/retrieval and image copy detection (across millions of images).
What we look for:Minimum Qualifications- MSc with strong GPA in Computer Vision, Machine Learning, or related technical field.
- 4+ years of industry experience on developing and deploying efficient ML/AI models and services in real-world environments.
- Strong engineering skills and proficiency in Python.
- Solid foundation in Computer Vision and Machine Learning with engineering experience in some of the following relevant specialization areas: Semantic Segmentation, Image or multi-modal classification, Image forgery detection & localization, Image Copy Detection, Image similarity analysis and large-scale image search/retrieval, fine-tuning of Vision Transformers for various tasks.
- Experience with various deep learning and ML/CV frameworks such as PyTorch, HuggingFace Transformers, OpenCV.
- Excellent problem solving and analytical skills.
- Team player who enjoys working collaboratively.
- Fluency in English written and oral.
- A passion for Machine Learning & AI-powered solutions.
- Strong sense of ownership, urgency, and drive.
Preferred Qualifications- 6+ years of experience in the field of CV/ML.
- Experience with end-2-end ML workflow life-cycle (MLOps, CI/CD, A/B Testing) and various related frameworks/tools (e.g., MLFlow, CubeFlow).
- Experience with scalable and interoperable ML models and inference servers (e.g., ONNX, TensorRT, NVidia Triton).
- Experience with Python backend APIs / development frameworks also supporting long running tasks (e.g., Spring Boot, FastAPI, Celery), microservices architecture, IoC/DI patterns and containerization.
- Familiarity with Cloud technologies (especially Google Cloud).
- Experience with Git, Jira, Cloud Build or Jenkins.
- Good understanding of Agile methodologies.
Key Benefits:- Enrollment in Social Security.
- Life and medical insurance coverage.
- Flexible working hours.
- Extended paid parental leave.
About Wiley:Enabling Discovery, Powering Education, Shaping Workforces.
We clear the way for seekers of knowledge: illuminating the path forward for research and education, tearing down barriers to society's advancement, and giving seekers the help they need to turn their steps into strides.
Wiley may have been founded over two centuries ago, but our secret to success remains the same: our people. We are willing to challenge the status quo, move the needle, and be innovative. Wiley's headquarters are located in Hoboken, New Jersey, with operations across the globe in more than forty countries.
Please attach your CV in order to be considered for this position. 
